Data Set
The professor suggested that it would be more efficient to download the datasets directly using the provided links on the website. However, the source of the datasets was set up in a way that did not allow for copying the links. As a result, I had to download the datasets directly from the website. The datasets used in this study include: ‘Who compose mortality rates in Luxembourg with cause rate’, ‘Non communication in Luxembourg’, and ‘Population by age group’. The links for these datasets are as follows: Who compose mortality rates in Luxembourg with cause rate, Non communication in Luxembourg, and Population by age group.
    Examining Temporal Trends and Gender Disparities in Mortality Rates, 1960-2021
The objective of this study is to investigate the temporal dynamics of mortality rates from 1960 to 2021, encompassing individuals of all age groups. A key focus of the analysis will be to assess potential disparities in mortality rates between males and females.

We notice that in Luxembourg, the mortality rate was very high in 1960.
        because in Luxembourg there have been several epidemics that could affect lives.
        However, from 1960 to 2020, this rate has decreased. This makes sense, because Luxembourg has adopted more modern                  treatment methods.
    
We shall now analyze some major causes of mortality in luxembourg and how these causes have affected different age groups.
# A tibble: 193 × 2
   Indicator_Name                            n
   <chr>                                 <int>
 1 All Causes                             2703
 2 Appendicitis                           2703
 3 Birth asphyxia and birth trauma        2703
 4 Breast cancer                          2703
 5 Cardiovascular diseases                2703
 6 Cataracts                              2703
 7 Cerebrovascular disease                2703
 8 Childhood-cluster diseases             2703
 9 Chronic obstructive pulmonary disease  2703
10 Cirrhosis of the liver                 2703
# … with 183 more rows


    Given that non-communicable diseases are the leading cause of death, it is important to visualize the impact of these conditions on mortality by age group. This will allow us to identify which age brackets are most affected

#Number of deaf by noncommunicatif desease by cat age

Here we plot the number of deaths from non-communication diseases for different age groups. From the graph, we can understand that the number of deaths due to non_communication issues is maximum for the age groups from 0 and also age groups between 54 and 74 years old. We also note that the number of deaths due to non-communication of illnesses is down slightly for the young population. The top no.

child deaths may be due to the fact that children of this age are not strong enough to resist this disease. It is noted that the number of deaths is also relatively higher among the elderly than among middle-aged adults. This may be the case with older people who do not have strong immunity against non-communication diseases.

since we find that this disease has more effect on older people. So we can visualize how this disease causes mortality during the years 1960 to 2021.

Comparing the mortality cause by noncomminicate desase in Luxembourg to other country from 54 to 74

#animate map

#Life experience in 2000 comparing the rest of the word in 2000(Map) with noncommunication desases

representation of the population of the countries most affected by non-communicable diseases by age from 1960 to 1970